DocMatePDF
Lightning-fast PDF tools. 100% private, processed in-browser
What it does
Free online PDF tools to merge, split, compress, convert, OCR, watermark and organize PDF documents securely in yTired of uploading sensitive documents to random cloud servers just to merge or edit them? DocMatePDF is a suite of lightning-fast PDF tools that run entirely client-side in your browser using WebAssembly. Absolute privacy, instant speed, and granular page-level control. Your files never leave your device.
Free online PDF tools to merge, split, compress, convert, OCR, watermark and organize PDF documents securely in your browser.
Combine reports, chapters, and attachments into a single organized PDF — perfect for submissions and sharing. Processing runs in your browser; files stay on your device. Free plan includes 20 executions of premium tool per day. No credit card required. Sign up in seconds to merge files and download your combined PDF. Upload two or more PDFs and arrange them in the order you want in the final document. Get one clean PDF with all pages in sequence — ready to email or print. Add files and control the final page order without desktop software. Merging happens in your browser — your PDFs are not uploaded to our servers. Combine documents in minutes, not hours — no install or learning curve.…from docmatepdf.com
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Life & fun · 10d ago · louisabraham.github.io
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com